This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill package", "analyze token budget", "create subagents", "configure permissions", "set up worktrees", or "integrate Claude Code with editors". Covers Claude Code CLI mastery, skill authoring, context engineering, hooks automation, subagent creation, and development workflow optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Expert skill for Claude Code CLI -- CLAUDE.md optimization, skill authoring, subagent creation, hooks automation, and context engineering.
Keywords: claude-code, claude-cli, CLAUDE.md, skill-authoring, subagents, hooks, context-window, token-budget, MCP-servers, worktrees, permission-modes, prompt-engineering, context-engineering, slash-commands
.claude/agents/<name>.md files with a tools allowlist and a Markdown-body system prompt.PreToolUse/PostToolUse/Stop lifecycle scripts via .claude/settings.json.Before scaffolding or optimizing, confirm these inputs. If any is unknown or vague, ASK — do not assume:
skill_scaffolder.py vs claudemd_optimizer.py vs context_analyzer.py)--token-limit and what counts as over-budget)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# Scaffold a new skill package
python scripts/skill_scaffolder.py my-new-skill --domain engineering --description "Brief description"
# Analyze and optimize an existing CLAUDE.md
python scripts/claudemd_optimizer.py path/to/CLAUDE.md
# Estimate context window usage across a project
python scripts/context_analyzer.py /path/to/project
# All tools support JSON output
python scripts/claudemd_optimizer.py CLAUDE.md --json
| Tool | Purpose | Command |
|---|---|---|
skill_scaffolder.py | Scaffold a new skill package with correct structure + frontmatter | python scripts/skill_scaffolder.py my-skill -d engineering --description "Does X" |
claudemd_optimizer.py | Score a CLAUDE.md for structure, tokens, and redundancy with recommendations | python scripts/claudemd_optimizer.py CLAUDE.md --token-limit 4000 |
context_analyzer.py | Estimate context-window consumption by file category with a budget breakdown | python scripts/context_analyzer.py /path/to/project --max-depth 4 |
All tools support --json. See references/tool-reference.md for full parameter tables and output formats.
Load the reference that matches the task — keep this file lean and pull detail on demand:
Templates: assets/skill-template.md, assets/agent-template.md
This skill covers:
This skill does NOT cover:
| Skill | Integration | Data Flow |
|---|---|---|
| senior-architect | Architecture decisions inform CLAUDE.md structure sections | Architecture diagrams and patterns feed into the Architecture Overview section of CLAUDE.md |
| code-reviewer | Subagent creation for automated code review | Claude Code Mastery creates the agent .md file; Code Reviewer provides the review logic |
| senior-prompt-engineer | Prompt optimization for skill descriptions and agent instructions | Prompt engineering techniques improve YAML frontmatter trigger phrases and agent system prompts (the agent file body) |
| doc-drift-detector | Detects when CLAUDE.md drifts out of sync with the codebase | Context Analyzer output feeds drift detection; drift findings trigger CLAUDE.md optimization |
| context-engine | Advanced context management strategies | Context Analyzer provides token budgets; Context Engine applies compression and prioritization |
| senior-secops | Security hooks and permission mode configuration | SecOps policies define which tools to deny; Claude Code Mastery configures the permission allowlists |
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.